[visionlist] PhD positions: Deep Learning for Medical Image Analysis

[Jose Dolz]

Applications are invited for several fully funded PhD positions at the ETS,
Montreal, Canada. ETS is the fastest-growing and largest engineering school
in Quebec, with an expanding team of highly qualified young researchers in
image analysis, one of the priority areas of the school.

In addition to its vibrant, multi-cultural life style, Montreal is
currently becoming a hotspot of AI worldwide, attracting major industrial
players, which offers excellent placement opportunities to graduate
students.

The successful candidates will work under the supervision of Prof. Jose
Dolz.

The positions are available after the candidates pass ETS application
requirements and they will start at the convenience for the candidate
(latest at summer 2019). Financial support is available for 4 years. This
project will explore semi and weakly supervised learning strategies for
understanding and interpreting medical image data, with a main focus on
image segmentation.

Prospective applicants should have:

   -

   Strong academic record with an excellent M.Sc. degree in computer
   science, applied mathematics, or electrical/biomedical engineering,
   preferably with expertise in more than one of the following areas: medical
   image analysis, machine learning, computer vision, pattern recognition,
   semi/weakly supervised learning and/or optimization;
   -

   A good mathematical background;
   -

   Good programming skills in languages such as C, C++, MATLAB and/or
   Python.
   -

   At least one publication in a peer-reviewed journal or conference in a
   related topic.
   -

   They should be able to work both independently and as part of a research
   team.


Application process: For consideration, please send a CV, names and contact
details of two references, transcripts for graduate studies, and a link to
a M.Sc. thesis (as well as relevant publications if any) to:

jose.dolz at livia.etsmtl.ca

The working language is English (French is not mandatory).

-- 
*Jose Dolz*
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